Full-Field Interferometric Imaging of Propagating Action Potentials
Tong Ling, Kevin C. Boyle, Georges Goetz, Peng Zhou, Yi Quan, Felix S., Alfonso, Tiffany W. Huang, Daniel Palanker

TL;DR
This paper introduces a novel interferometric imaging technique that detects individual cellular action potentials by measuring membrane deformations, enabling label-free, full-field optical imaging of neural activity with high temporal resolution.
Contribution
The study presents a new interferometric method for all-optical detection of action potentials through membrane movement, avoiding the limitations of traditional fluorescence-based techniques.
Findings
Detected membrane deformations of up to 3 nm during action potentials.
Achieved 1 ms temporal resolution in imaging neural activity.
Enabled label-free, full-field imaging of propagating action potentials.
Abstract
Currently, cellular action potentials are detected using either electrical recordings or exogenous fluorescent probes sensing calcium concentration or transmembrane voltage. Ca imaging has low temporal resolution, while voltage indicators are vulnerable to phototoxicity, photobleaching and heating. Here we report full-field interferometric imaging of individual action potentials by detecting the movement across the entire cell membrane. Using spike-triggered averaging of the movies synchronized to electrical recording, we demonstrate deformations of up to 3 nm (0.9 mrad) during the action potential in spiking HEK-293 cells, with a rise time of 4 ms. The time course of the optically-recorded spikes matches electrical waveforms. Since the shot noise limit of the camera (~2 mrad/pix) precludes detection of the action potential in a single frame, for all-optical spike detection, images are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
